{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import pandas as pd\n",
    "from circum import xy_values\n",
    "import cv2 as cv\n",
    "import matplotlib.pyplot as plt\n",
    "import ast\n",
    "import numpy as np\n",
    "from pathlib import Path\n",
    "import shutil\n",
    "import random"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "os.chdir(\"/home/kiprono/Documents/STELLENBOSCH UNIVERISTY/\\\n",
    "Masters by Research/Mask RCNN/Annotation projects/ACFR/mangoes\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "def center_radius(x,y,dx,dy):\n",
    "    cx = x+(0.5*dx)\n",
    "    cy = y+(0.5*dy)\n",
    "    radius = 0.5*(max(dx,dy))\n",
    "    return cx,cy, radius"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['train_images',\n",
       " 'train_final.csv',\n",
       " 'train_csv',\n",
       " 'test_csv',\n",
       " 'test_final.csv',\n",
       " 'test_images']"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "os.listdir(os.getcwd())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "images_path = os.path.join(os.getcwd(),\"test_images\")\n",
    "annotations_path = os.path.join(os.getcwd(),\"test_csv\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## ONE"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['filename',\n",
       " 'file_size',\n",
       " 'file_attributes',\n",
       " 'region_count',\n",
       " 'region_id',\n",
       " 'region_shape_attributes',\n",
       " 'region_attributes']"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "['filename', 'file_size', 'file_attributes', 'region_count', 'region_id',\n",
    "       'region_shape_attributes', 'region_attributes']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "annotations_list = os.listdir(annotations_path)\n",
    "a = annotations_list[0]\n",
    "a\n",
    "df_a = pd.read_csv(os.path.join(annotations_path,a))\n",
    "df_a\n",
    "image_name =  a.replace(\".csv\",\".png\")\n",
    "img = cv.imread(os.path.join(images_path,image_name))\n",
    "for row in range(len(df_a)):\n",
    "    cx,cy, radius_ =center_radius(df_a.at[row,\"x\"],df_a.at[row,\"y\"],\\\n",
    "             df_a.at[row,\"dx\"],df_a.at[row,\"dy\"])\n",
    "    df_a.at[row,\"cx\"] = cx\n",
    "    df_a.at[row,\"cy\"] = cy\n",
    "    df_a.at[row,\"radius\"] = radius_\n",
    "    df_a.at[row,\"filename\"] = image_name\n",
    "    df_a.at[row,\"file_attributes\"] = \"{}\"\n",
    "    df_a.at[row,\"region_count\"] = len(df_a)\n",
    "    df_a.at[row,'region_id'] = row\n",
    "    df_a.at[row,\"file_size\"] = Path(os.path.join(images_path,image_name)).stat().st_size\n",
    "    t = {\"name\":\"polygon\",\"all_points_x\":None,\"all_points_y\":None}\n",
    "    x,y = xy_values(df_a.at[row,\"cx\"],df_a.at[row,\"cy\"],df_a.at[row,\"radius\"],img.shape[0],img.shape[1])\n",
    "    t['all_points_x']  = x\n",
    "    t['all_points_y'] = y\n",
    "    df_a.at[row,'region_shape_attributes'] = str(t)\n",
    "    df_a.at[row,\"region_attributes\"] = \"{}\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>#item</th>\n",
       "      <th>x</th>\n",
       "      <th>y</th>\n",
       "      <th>dx</th>\n",
       "      <th>dy</th>\n",
       "      <th>label</th>\n",
       "      <th>cx</th>\n",
       "      <th>cy</th>\n",
       "      <th>radius</th>\n",
       "      <th>filename</th>\n",
       "      <th>file_attributes</th>\n",
       "      <th>region_count</th>\n",
       "      <th>region_id</th>\n",
       "      <th>file_size</th>\n",
       "      <th>region_shape_attributes</th>\n",
       "      <th>region_attributes</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>72.631579</td>\n",
       "      <td>155.789474</td>\n",
       "      <td>30.717490</td>\n",
       "      <td>29.640806</td>\n",
       "      <td>1</td>\n",
       "      <td>87.990324</td>\n",
       "      <td>170.609877</td>\n",
       "      <td>15.358745</td>\n",
       "      <td>20151124T025049.132800_i1923j1012.png</td>\n",
       "      <td>{}</td>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "      <td>1056928</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [103, 103,...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>154.210526</td>\n",
       "      <td>174.736842</td>\n",
       "      <td>27.645741</td>\n",
       "      <td>26.676725</td>\n",
       "      <td>1</td>\n",
       "      <td>168.033397</td>\n",
       "      <td>188.075205</td>\n",
       "      <td>13.822871</td>\n",
       "      <td>20151124T025049.132800_i1923j1012.png</td>\n",
       "      <td>{}</td>\n",
       "      <td>11</td>\n",
       "      <td>1</td>\n",
       "      <td>1056928</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [181, 181,...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>275.789474</td>\n",
       "      <td>87.368421</td>\n",
       "      <td>27.645741</td>\n",
       "      <td>32.278838</td>\n",
       "      <td>1</td>\n",
       "      <td>289.612344</td>\n",
       "      <td>103.507840</td>\n",
       "      <td>16.139419</td>\n",
       "      <td>20151124T025049.132800_i1923j1012.png</td>\n",
       "      <td>{}</td>\n",
       "      <td>11</td>\n",
       "      <td>2</td>\n",
       "      <td>1056928</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [305, 305,...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>440.000000</td>\n",
       "      <td>17.894737</td>\n",
       "      <td>24.881167</td>\n",
       "      <td>29.050954</td>\n",
       "      <td>1</td>\n",
       "      <td>452.440584</td>\n",
       "      <td>32.420214</td>\n",
       "      <td>14.525477</td>\n",
       "      <td>20151124T025049.132800_i1923j1012.png</td>\n",
       "      <td>{}</td>\n",
       "      <td>11</td>\n",
       "      <td>3</td>\n",
       "      <td>1056928</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [466, 466,...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>458.947368</td>\n",
       "      <td>16.842105</td>\n",
       "      <td>24.881167</td>\n",
       "      <td>29.050954</td>\n",
       "      <td>1</td>\n",
       "      <td>471.387952</td>\n",
       "      <td>31.367582</td>\n",
       "      <td>14.525477</td>\n",
       "      <td>20151124T025049.132800_i1923j1012.png</td>\n",
       "      <td>{}</td>\n",
       "      <td>11</td>\n",
       "      <td>4</td>\n",
       "      <td>1056928</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [485, 485,...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>5</td>\n",
       "      <td>398.947368</td>\n",
       "      <td>264.210526</td>\n",
       "      <td>30.106212</td>\n",
       "      <td>35.151654</td>\n",
       "      <td>1</td>\n",
       "      <td>414.000474</td>\n",
       "      <td>281.786354</td>\n",
       "      <td>17.575827</td>\n",
       "      <td>20151124T025049.132800_i1923j1012.png</td>\n",
       "      <td>{}</td>\n",
       "      <td>11</td>\n",
       "      <td>5</td>\n",
       "      <td>1056928</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [431, 431,...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>6</td>\n",
       "      <td>423.684211</td>\n",
       "      <td>245.263158</td>\n",
       "      <td>24.142171</td>\n",
       "      <td>28.188112</td>\n",
       "      <td>1</td>\n",
       "      <td>435.755296</td>\n",
       "      <td>259.357214</td>\n",
       "      <td>14.094056</td>\n",
       "      <td>20151124T025049.132800_i1923j1012.png</td>\n",
       "      <td>{}</td>\n",
       "      <td>11</td>\n",
       "      <td>6</td>\n",
       "      <td>1056928</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [449, 449,...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>7</td>\n",
       "      <td>318.947368</td>\n",
       "      <td>405.789474</td>\n",
       "      <td>23.900750</td>\n",
       "      <td>30.696854</td>\n",
       "      <td>1</td>\n",
       "      <td>330.897743</td>\n",
       "      <td>421.137900</td>\n",
       "      <td>15.348427</td>\n",
       "      <td>20151124T025049.132800_i1923j1012.png</td>\n",
       "      <td>{}</td>\n",
       "      <td>11</td>\n",
       "      <td>7</td>\n",
       "      <td>1056928</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [346, 346,...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>8</td>\n",
       "      <td>135.789474</td>\n",
       "      <td>371.052632</td>\n",
       "      <td>26.290825</td>\n",
       "      <td>30.696854</td>\n",
       "      <td>1</td>\n",
       "      <td>148.934886</td>\n",
       "      <td>386.401058</td>\n",
       "      <td>15.348427</td>\n",
       "      <td>20151124T025049.132800_i1923j1012.png</td>\n",
       "      <td>{}</td>\n",
       "      <td>11</td>\n",
       "      <td>8</td>\n",
       "      <td>1056928</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [164, 164,...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>9</td>\n",
       "      <td>103.684211</td>\n",
       "      <td>227.368421</td>\n",
       "      <td>21.295568</td>\n",
       "      <td>24.864451</td>\n",
       "      <td>1</td>\n",
       "      <td>114.331995</td>\n",
       "      <td>239.800647</td>\n",
       "      <td>12.432226</td>\n",
       "      <td>20151124T025049.132800_i1923j1012.png</td>\n",
       "      <td>{}</td>\n",
       "      <td>11</td>\n",
       "      <td>9</td>\n",
       "      <td>1056928</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [126, 126,...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>10</td>\n",
       "      <td>73.157895</td>\n",
       "      <td>118.947368</td>\n",
       "      <td>23.425125</td>\n",
       "      <td>27.350897</td>\n",
       "      <td>1</td>\n",
       "      <td>84.870457</td>\n",
       "      <td>132.622817</td>\n",
       "      <td>13.675448</td>\n",
       "      <td>20151124T025049.132800_i1923j1012.png</td>\n",
       "      <td>{}</td>\n",
       "      <td>11</td>\n",
       "      <td>10</td>\n",
       "      <td>1056928</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [98, 98, 9...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    #item           x           y         dx         dy  label          cx  \\\n",
       "0       0   72.631579  155.789474  30.717490  29.640806      1   87.990324   \n",
       "1       1  154.210526  174.736842  27.645741  26.676725      1  168.033397   \n",
       "2       2  275.789474   87.368421  27.645741  32.278838      1  289.612344   \n",
       "3       3  440.000000   17.894737  24.881167  29.050954      1  452.440584   \n",
       "4       4  458.947368   16.842105  24.881167  29.050954      1  471.387952   \n",
       "5       5  398.947368  264.210526  30.106212  35.151654      1  414.000474   \n",
       "6       6  423.684211  245.263158  24.142171  28.188112      1  435.755296   \n",
       "7       7  318.947368  405.789474  23.900750  30.696854      1  330.897743   \n",
       "8       8  135.789474  371.052632  26.290825  30.696854      1  148.934886   \n",
       "9       9  103.684211  227.368421  21.295568  24.864451      1  114.331995   \n",
       "10     10   73.157895  118.947368  23.425125  27.350897      1   84.870457   \n",
       "\n",
       "            cy     radius                               filename  \\\n",
       "0   170.609877  15.358745  20151124T025049.132800_i1923j1012.png   \n",
       "1   188.075205  13.822871  20151124T025049.132800_i1923j1012.png   \n",
       "2   103.507840  16.139419  20151124T025049.132800_i1923j1012.png   \n",
       "3    32.420214  14.525477  20151124T025049.132800_i1923j1012.png   \n",
       "4    31.367582  14.525477  20151124T025049.132800_i1923j1012.png   \n",
       "5   281.786354  17.575827  20151124T025049.132800_i1923j1012.png   \n",
       "6   259.357214  14.094056  20151124T025049.132800_i1923j1012.png   \n",
       "7   421.137900  15.348427  20151124T025049.132800_i1923j1012.png   \n",
       "8   386.401058  15.348427  20151124T025049.132800_i1923j1012.png   \n",
       "9   239.800647  12.432226  20151124T025049.132800_i1923j1012.png   \n",
       "10  132.622817  13.675448  20151124T025049.132800_i1923j1012.png   \n",
       "\n",
       "   file_attributes  region_count  region_id  file_size  \\\n",
       "0               {}            11          0    1056928   \n",
       "1               {}            11          1    1056928   \n",
       "2               {}            11          2    1056928   \n",
       "3               {}            11          3    1056928   \n",
       "4               {}            11          4    1056928   \n",
       "5               {}            11          5    1056928   \n",
       "6               {}            11          6    1056928   \n",
       "7               {}            11          7    1056928   \n",
       "8               {}            11          8    1056928   \n",
       "9               {}            11          9    1056928   \n",
       "10              {}            11         10    1056928   \n",
       "\n",
       "                              region_shape_attributes region_attributes  \n",
       "0   {'name': 'polygon', 'all_points_x': [103, 103,...                {}  \n",
       "1   {'name': 'polygon', 'all_points_x': [181, 181,...                {}  \n",
       "2   {'name': 'polygon', 'all_points_x': [305, 305,...                {}  \n",
       "3   {'name': 'polygon', 'all_points_x': [466, 466,...                {}  \n",
       "4   {'name': 'polygon', 'all_points_x': [485, 485,...                {}  \n",
       "5   {'name': 'polygon', 'all_points_x': [431, 431,...                {}  \n",
       "6   {'name': 'polygon', 'all_points_x': [449, 449,...                {}  \n",
       "7   {'name': 'polygon', 'all_points_x': [346, 346,...                {}  \n",
       "8   {'name': 'polygon', 'all_points_x': [164, 164,...                {}  \n",
       "9   {'name': 'polygon', 'all_points_x': [126, 126,...                {}  \n",
       "10  {'name': 'polygon', 'all_points_x': [98, 98, 9...                {}  "
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_a[\"file_size\"] = df_a[\"file_size\"].astype(\"int64\")\n",
    "df_a[\"region_count\"] = df_a[\"region_count\"].astype(\"int64\")\n",
    "df_a['region_id'] = df_a['region_id'].astype(\"int64\")\n",
    "df_a"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['#item',\n",
       " 'x',\n",
       " 'y',\n",
       " 'dx',\n",
       " 'dy',\n",
       " 'label',\n",
       " 'cx',\n",
       " 'cy',\n",
       " 'radius',\n",
       " 'filename',\n",
       " 'file_attributes',\n",
       " 'region_count',\n",
       " 'region_id',\n",
       " 'file_size',\n",
       " 'region_shape_attributes',\n",
       " 'region_attributes']"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "list(df_a.columns)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## TEST"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "a = df_a.loc[0,'region_shape_attributes']\n",
    "a = ast.literal_eval(a)\n",
    "x = a[\"all_points_x\"]\n",
    "y = a[\"all_points_y\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "pts = []\n",
    "for i,j in zip(x,y):\n",
    "    pts.append([i,j])\n",
    "pts = np.array(pts)\n",
    "img = cv.polylines(img,[np.int32(pts)],isClosed=True,color=(255,0,0),thickness=10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7f2f90d3a390>"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.imshow(img)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "#OK OK OK OK"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## LOOP THROUGH ALL"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "annotations_list = os.listdir(annotations_path)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "metadf = pd.DataFrame(columns=['#item',\n",
    " 'x',\n",
    " 'y',\n",
    " 'dx',\n",
    " 'dy',\n",
    " 'label',\n",
    " 'cx',\n",
    " 'cy',\n",
    " 'radius',\n",
    " 'filename',\n",
    " 'file_attributes',\n",
    " 'region_count',\n",
    " 'region_id',\n",
    " 'file_size',\n",
    " 'region_shape_attributes',\n",
    " 'region_attributes'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/kiprono/.local/lib/python3.7/site-packages/ipykernel_launcher.py:23: FutureWarning: Sorting because non-concatenation axis is not aligned. A future version\n",
      "of pandas will change to not sort by default.\n",
      "\n",
      "To accept the future behavior, pass 'sort=False'.\n",
      "\n",
      "To retain the current behavior and silence the warning, pass 'sort=True'.\n",
      "\n"
     ]
    }
   ],
   "source": [
    "for index,annotation in enumerate(annotations_list):\n",
    "    df_a = pd.read_csv(os.path.join(annotations_path,annotation))\n",
    "    df_a\n",
    "    image_name =  annotation.replace(\".csv\",\".png\")\n",
    "    img = cv.imread(os.path.join(images_path,image_name))\n",
    "    for row in range(len(df_a)):\n",
    "        cx,cy, radius_ =center_radius(df_a.at[row,\"x\"],df_a.at[row,\"y\"],\\\n",
    "                 df_a.at[row,\"dx\"],df_a.at[row,\"dy\"])\n",
    "        df_a.at[row,\"cx\"] = cx\n",
    "        df_a.at[row,\"cy\"] = cy\n",
    "        df_a.at[row,\"radius\"] = radius_\n",
    "        df_a.at[row,\"filename\"] = image_name\n",
    "        df_a.at[row,\"file_attributes\"] = \"{}\"\n",
    "        df_a.at[row,\"region_count\"] = len(df_a)\n",
    "        df_a.at[row,'region_id'] = row\n",
    "        df_a.at[row,\"file_size\"] = Path(os.path.join(images_path,image_name)).stat().st_size\n",
    "        t = {\"name\":\"polygon\",\"all_points_x\":None,\"all_points_y\":None}\n",
    "        x,y = xy_values(df_a.at[row,\"cx\"],df_a.at[row,\"cy\"],df_a.at[row,\"radius\"],img.shape[0],img.shape[1])\n",
    "        t['all_points_x']  = x\n",
    "        t['all_points_y'] = y\n",
    "        df_a.at[row,'region_shape_attributes'] = str(t)\n",
    "        df_a.at[row,\"region_attributes\"] = \"{}\"\n",
    "    metadf = pd.concat([metadf, df_a], ignore_index=True)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
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       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
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       "  <thead>\n",
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       "      <th>#item</th>\n",
       "      <th>cx</th>\n",
       "      <th>cy</th>\n",
       "      <th>dx</th>\n",
       "      <th>dy</th>\n",
       "      <th>file_attributes</th>\n",
       "      <th>file_size</th>\n",
       "      <th>filename</th>\n",
       "      <th>label</th>\n",
       "      <th>radius</th>\n",
       "      <th>region_attributes</th>\n",
       "      <th>region_count</th>\n",
       "      <th>region_id</th>\n",
       "      <th>region_shape_attributes</th>\n",
       "      <th>x</th>\n",
       "      <th>y</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
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       "      <td>87.990324</td>\n",
       "      <td>170.609877</td>\n",
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       "      <td>29.640806</td>\n",
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       "      <td>72.631579</td>\n",
       "      <td>155.789474</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>168.033397</td>\n",
       "      <td>188.075205</td>\n",
       "      <td>27.645741</td>\n",
       "      <td>26.676725</td>\n",
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       "      <td>154.210526</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
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       "      <td>275.789474</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>452.440584</td>\n",
       "      <td>32.420214</td>\n",
       "      <td>24.881167</td>\n",
       "      <td>29.050954</td>\n",
       "      <td>{}</td>\n",
       "      <td>1056928</td>\n",
       "      <td>20151124T025049.132800_i1923j1012.png</td>\n",
       "      <td>1</td>\n",
       "      <td>14.525477</td>\n",
       "      <td>{}</td>\n",
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       "      <td>440.000000</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
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       "      <td>1</td>\n",
       "      <td>14.525477</td>\n",
       "      <td>{}</td>\n",
       "      <td>11</td>\n",
       "      <td>4</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [485, 485,...</td>\n",
       "      <td>458.947368</td>\n",
       "      <td>16.842105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>5</td>\n",
       "      <td>414.000474</td>\n",
       "      <td>281.786354</td>\n",
       "      <td>30.106212</td>\n",
       "      <td>35.151654</td>\n",
       "      <td>{}</td>\n",
       "      <td>1056928</td>\n",
       "      <td>20151124T025049.132800_i1923j1012.png</td>\n",
       "      <td>1</td>\n",
       "      <td>17.575827</td>\n",
       "      <td>{}</td>\n",
       "      <td>11</td>\n",
       "      <td>5</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [431, 431,...</td>\n",
       "      <td>398.947368</td>\n",
       "      <td>264.210526</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>6</td>\n",
       "      <td>435.755296</td>\n",
       "      <td>259.357214</td>\n",
       "      <td>24.142171</td>\n",
       "      <td>28.188112</td>\n",
       "      <td>{}</td>\n",
       "      <td>1056928</td>\n",
       "      <td>20151124T025049.132800_i1923j1012.png</td>\n",
       "      <td>1</td>\n",
       "      <td>14.094056</td>\n",
       "      <td>{}</td>\n",
       "      <td>11</td>\n",
       "      <td>6</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [449, 449,...</td>\n",
       "      <td>423.684211</td>\n",
       "      <td>245.263158</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>7</td>\n",
       "      <td>330.897743</td>\n",
       "      <td>421.137900</td>\n",
       "      <td>23.900750</td>\n",
       "      <td>30.696854</td>\n",
       "      <td>{}</td>\n",
       "      <td>1056928</td>\n",
       "      <td>20151124T025049.132800_i1923j1012.png</td>\n",
       "      <td>1</td>\n",
       "      <td>15.348427</td>\n",
       "      <td>{}</td>\n",
       "      <td>11</td>\n",
       "      <td>7</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [346, 346,...</td>\n",
       "      <td>318.947368</td>\n",
       "      <td>405.789474</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>8</td>\n",
       "      <td>148.934886</td>\n",
       "      <td>386.401058</td>\n",
       "      <td>26.290825</td>\n",
       "      <td>30.696854</td>\n",
       "      <td>{}</td>\n",
       "      <td>1056928</td>\n",
       "      <td>20151124T025049.132800_i1923j1012.png</td>\n",
       "      <td>1</td>\n",
       "      <td>15.348427</td>\n",
       "      <td>{}</td>\n",
       "      <td>11</td>\n",
       "      <td>8</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [164, 164,...</td>\n",
       "      <td>135.789474</td>\n",
       "      <td>371.052632</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>9</td>\n",
       "      <td>114.331995</td>\n",
       "      <td>239.800647</td>\n",
       "      <td>21.295568</td>\n",
       "      <td>24.864451</td>\n",
       "      <td>{}</td>\n",
       "      <td>1056928</td>\n",
       "      <td>20151124T025049.132800_i1923j1012.png</td>\n",
       "      <td>1</td>\n",
       "      <td>12.432226</td>\n",
       "      <td>{}</td>\n",
       "      <td>11</td>\n",
       "      <td>9</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [126, 126,...</td>\n",
       "      <td>103.684211</td>\n",
       "      <td>227.368421</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>10</td>\n",
       "      <td>84.870457</td>\n",
       "      <td>132.622817</td>\n",
       "      <td>23.425125</td>\n",
       "      <td>27.350897</td>\n",
       "      <td>{}</td>\n",
       "      <td>1056928</td>\n",
       "      <td>20151124T025049.132800_i1923j1012.png</td>\n",
       "      <td>1</td>\n",
       "      <td>13.675448</td>\n",
       "      <td>{}</td>\n",
       "      <td>11</td>\n",
       "      <td>10</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [98, 98, 9...</td>\n",
       "      <td>73.157895</td>\n",
       "      <td>118.947368</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>0</td>\n",
       "      <td>225.024797</td>\n",
       "      <td>422.344522</td>\n",
       "      <td>22.990771</td>\n",
       "      <td>29.394926</td>\n",
       "      <td>{}</td>\n",
       "      <td>1062812</td>\n",
       "      <td>20151124T042953.967490_i1869j1071.png</td>\n",
       "      <td>1</td>\n",
       "      <td>14.697463</td>\n",
       "      <td>{}</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [239, 239,...</td>\n",
       "      <td>213.529412</td>\n",
       "      <td>407.647059</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>0</td>\n",
       "      <td>28.451043</td>\n",
       "      <td>371.034061</td>\n",
       "      <td>33.744192</td>\n",
       "      <td>41.015490</td>\n",
       "      <td>{}</td>\n",
       "      <td>1035204</td>\n",
       "      <td>20151124T030001.234484_i1735j1192.png</td>\n",
       "      <td>1</td>\n",
       "      <td>20.507745</td>\n",
       "      <td>{}</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [48, 48, 4...</td>\n",
       "      <td>11.578947</td>\n",
       "      <td>350.526316</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>1</td>\n",
       "      <td>22.087450</td>\n",
       "      <td>323.162250</td>\n",
       "      <td>27.332795</td>\n",
       "      <td>24.219237</td>\n",
       "      <td>{}</td>\n",
       "      <td>1035204</td>\n",
       "      <td>20151124T030001.234484_i1735j1192.png</td>\n",
       "      <td>1</td>\n",
       "      <td>13.666398</td>\n",
       "      <td>{}</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [35, 35, 3...</td>\n",
       "      <td>8.421053</td>\n",
       "      <td>311.052632</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>2</td>\n",
       "      <td>447.062657</td>\n",
       "      <td>357.203376</td>\n",
       "      <td>33.072682</td>\n",
       "      <td>35.459384</td>\n",
       "      <td>{}</td>\n",
       "      <td>1035204</td>\n",
       "      <td>20151124T030001.234484_i1735j1192.png</td>\n",
       "      <td>1</td>\n",
       "      <td>17.729692</td>\n",
       "      <td>{}</td>\n",
       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [464, 464,...</td>\n",
       "      <td>430.526316</td>\n",
       "      <td>339.473684</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>3</td>\n",
       "      <td>412.777444</td>\n",
       "      <td>308.045261</td>\n",
       "      <td>29.765414</td>\n",
       "      <td>28.722101</td>\n",
       "      <td>{}</td>\n",
       "      <td>1035204</td>\n",
       "      <td>20151124T030001.234484_i1735j1192.png</td>\n",
       "      <td>1</td>\n",
       "      <td>14.882707</td>\n",
       "      <td>{}</td>\n",
       "      <td>6</td>\n",
       "      <td>3</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [427, 427,...</td>\n",
       "      <td>397.894737</td>\n",
       "      <td>293.684211</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>4</td>\n",
       "      <td>472.777444</td>\n",
       "      <td>231.521838</td>\n",
       "      <td>29.765414</td>\n",
       "      <td>20.938412</td>\n",
       "      <td>{}</td>\n",
       "      <td>1035204</td>\n",
       "      <td>20151124T030001.234484_i1735j1192.png</td>\n",
       "      <td>1</td>\n",
       "      <td>14.882707</td>\n",
       "      <td>{}</td>\n",
       "      <td>6</td>\n",
       "      <td>4</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [487, 487,...</td>\n",
       "      <td>457.894737</td>\n",
       "      <td>221.052632</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>5</td>\n",
       "      <td>308.370782</td>\n",
       "      <td>454.575040</td>\n",
       "      <td>24.109985</td>\n",
       "      <td>20.729028</td>\n",
       "      <td>{}</td>\n",
       "      <td>1035204</td>\n",
       "      <td>20151124T030001.234484_i1735j1192.png</td>\n",
       "      <td>1</td>\n",
       "      <td>12.054993</td>\n",
       "      <td>{}</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [320, 320,...</td>\n",
       "      <td>296.315789</td>\n",
       "      <td>444.210526</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>0</td>\n",
       "      <td>245.157077</td>\n",
       "      <td>212.705785</td>\n",
       "      <td>50.314153</td>\n",
       "      <td>45.411571</td>\n",
       "      <td>{}</td>\n",
       "      <td>1008197</td>\n",
       "      <td>20151124T030414.495824_i1968j200.png</td>\n",
       "      <td>1</td>\n",
       "      <td>25.157077</td>\n",
       "      <td>{}</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [270, 270,...</td>\n",
       "      <td>220.000000</td>\n",
       "      <td>190.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>1</td>\n",
       "      <td>80.304363</td>\n",
       "      <td>391.800348</td>\n",
       "      <td>55.345569</td>\n",
       "      <td>60.442800</td>\n",
       "      <td>{}</td>\n",
       "      <td>1008197</td>\n",
       "      <td>20151124T030414.495824_i1968j200.png</td>\n",
       "      <td>1</td>\n",
       "      <td>30.221400</td>\n",
       "      <td>{}</td>\n",
       "      <td>9</td>\n",
       "      <td>1</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [110, 110,...</td>\n",
       "      <td>52.631579</td>\n",
       "      <td>361.578947</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>2</td>\n",
       "      <td>45.436618</td>\n",
       "      <td>442.374071</td>\n",
       "      <td>40.346920</td>\n",
       "      <td>48.958668</td>\n",
       "      <td>{}</td>\n",
       "      <td>1008197</td>\n",
       "      <td>20151124T030414.495824_i1968j200.png</td>\n",
       "      <td>1</td>\n",
       "      <td>24.479334</td>\n",
       "      <td>{}</td>\n",
       "      <td>9</td>\n",
       "      <td>2</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [69, 69, 6...</td>\n",
       "      <td>25.263158</td>\n",
       "      <td>417.894737</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>3</td>\n",
       "      <td>78.620413</td>\n",
       "      <td>458.567363</td>\n",
       "      <td>48.819773</td>\n",
       "      <td>59.239989</td>\n",
       "      <td>{}</td>\n",
       "      <td>1008197</td>\n",
       "      <td>20151124T030414.495824_i1968j200.png</td>\n",
       "      <td>1</td>\n",
       "      <td>29.619994</td>\n",
       "      <td>{}</td>\n",
       "      <td>9</td>\n",
       "      <td>3</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [108, 108,...</td>\n",
       "      <td>54.210526</td>\n",
       "      <td>428.947368</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>4</td>\n",
       "      <td>252.830939</td>\n",
       "      <td>424.812468</td>\n",
       "      <td>48.819773</td>\n",
       "      <td>52.782830</td>\n",
       "      <td>{}</td>\n",
       "      <td>1008197</td>\n",
       "      <td>20151124T030414.495824_i1968j200.png</td>\n",
       "      <td>1</td>\n",
       "      <td>26.391415</td>\n",
       "      <td>{}</td>\n",
       "      <td>9</td>\n",
       "      <td>4</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [279, 279,...</td>\n",
       "      <td>228.421053</td>\n",
       "      <td>398.421053</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>5</td>\n",
       "      <td>404.074161</td>\n",
       "      <td>407.962800</td>\n",
       "      <td>43.937795</td>\n",
       "      <td>47.504547</td>\n",
       "      <td>{}</td>\n",
       "      <td>1008197</td>\n",
       "      <td>20151124T030414.495824_i1968j200.png</td>\n",
       "      <td>1</td>\n",
       "      <td>23.752273</td>\n",
       "      <td>{}</td>\n",
       "      <td>9</td>\n",
       "      <td>5</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [427, 427,...</td>\n",
       "      <td>382.105263</td>\n",
       "      <td>384.210526</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>6</td>\n",
       "      <td>357.207993</td>\n",
       "      <td>475.520189</td>\n",
       "      <td>41.784406</td>\n",
       "      <td>44.724588</td>\n",
       "      <td>{}</td>\n",
       "      <td>1008197</td>\n",
       "      <td>20151124T030414.495824_i1968j200.png</td>\n",
       "      <td>1</td>\n",
       "      <td>22.362294</td>\n",
       "      <td>{}</td>\n",
       "      <td>9</td>\n",
       "      <td>6</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [379, 379,...</td>\n",
       "      <td>336.315789</td>\n",
       "      <td>453.157895</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>7</td>\n",
       "      <td>221.659527</td>\n",
       "      <td>486.302112</td>\n",
       "      <td>33.845369</td>\n",
       "      <td>32.604225</td>\n",
       "      <td>{}</td>\n",
       "      <td>1008197</td>\n",
       "      <td>20151124T030414.495824_i1968j200.png</td>\n",
       "      <td>1</td>\n",
       "      <td>16.922685</td>\n",
       "      <td>{}</td>\n",
       "      <td>9</td>\n",
       "      <td>7</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [238, 238,...</td>\n",
       "      <td>204.736842</td>\n",
       "      <td>470.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>8</td>\n",
       "      <td>435.812638</td>\n",
       "      <td>127.941553</td>\n",
       "      <td>27.414749</td>\n",
       "      <td>26.409422</td>\n",
       "      <td>{}</td>\n",
       "      <td>1008197</td>\n",
       "      <td>20151124T030414.495824_i1968j200.png</td>\n",
       "      <td>1</td>\n",
       "      <td>13.707374</td>\n",
       "      <td>{}</td>\n",
       "      <td>9</td>\n",
       "      <td>8</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [449, 449,...</td>\n",
       "      <td>422.105263</td>\n",
       "      <td>114.736842</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>0</td>\n",
       "      <td>46.091805</td>\n",
       "      <td>131.339164</td>\n",
       "      <td>35.341504</td>\n",
       "      <td>34.257275</td>\n",
       "      <td>{}</td>\n",
       "      <td>997717</td>\n",
       "      <td>20151124T025744.168853_i1947j449.png</td>\n",
       "      <td>1</td>\n",
       "      <td>17.670752</td>\n",
       "      <td>{}</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [63, 63, 6...</td>\n",
       "      <td>28.421053</td>\n",
       "      <td>114.210526</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>1</td>\n",
       "      <td>488.751111</td>\n",
       "      <td>274.400512</td>\n",
       "      <td>20.660117</td>\n",
       "      <td>27.748393</td>\n",
       "      <td>{}</td>\n",
       "      <td>997717</td>\n",
       "      <td>20151124T025744.168853_i1947j449.png</td>\n",
       "      <td>1</td>\n",
       "      <td>13.874197</td>\n",
       "      <td>{}</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [499, 499,...</td>\n",
       "      <td>478.421053</td>\n",
       "      <td>260.526316</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>2</td>\n",
       "      <td>208.130891</td>\n",
       "      <td>449.777795</td>\n",
       "      <td>29.945992</td>\n",
       "      <td>33.239800</td>\n",
       "      <td>{}</td>\n",
       "      <td>997717</td>\n",
       "      <td>20151124T025744.168853_i1947j449.png</td>\n",
       "      <td>1</td>\n",
       "      <td>16.619900</td>\n",
       "      <td>{}</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [224, 224,...</td>\n",
       "      <td>193.157895</td>\n",
       "      <td>433.157895</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1800</th>\n",
       "      <td>0</td>\n",
       "      <td>386.903292</td>\n",
       "      <td>131.875943</td>\n",
       "      <td>32.753952</td>\n",
       "      <td>42.699254</td>\n",
       "      <td>{}</td>\n",
       "      <td>1011654</td>\n",
       "      <td>20151124T025549.582123_i2325j546.png</td>\n",
       "      <td>1</td>\n",
       "      <td>21.349627</td>\n",
       "      <td>{}</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [408, 408,...</td>\n",
       "      <td>370.526316</td>\n",
       "      <td>110.526316</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1801</th>\n",
       "      <td>1</td>\n",
       "      <td>370.359868</td>\n",
       "      <td>76.090194</td>\n",
       "      <td>23.877631</td>\n",
       "      <td>31.127756</td>\n",
       "      <td>{}</td>\n",
       "      <td>1011654</td>\n",
       "      <td>20151124T025549.582123_i2325j546.png</td>\n",
       "      <td>1</td>\n",
       "      <td>15.563878</td>\n",
       "      <td>{}</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [385, 385,...</td>\n",
       "      <td>358.421053</td>\n",
       "      <td>60.526316</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1802</th>\n",
       "      <td>2</td>\n",
       "      <td>372.465131</td>\n",
       "      <td>70.827036</td>\n",
       "      <td>23.877631</td>\n",
       "      <td>31.127756</td>\n",
       "      <td>{}</td>\n",
       "      <td>1011654</td>\n",
       "      <td>20151124T025549.582123_i2325j546.png</td>\n",
       "      <td>1</td>\n",
       "      <td>15.563878</td>\n",
       "      <td>{}</td>\n",
       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [388, 387,...</td>\n",
       "      <td>360.526316</td>\n",
       "      <td>55.263158</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1803</th>\n",
       "      <td>3</td>\n",
       "      <td>451.553750</td>\n",
       "      <td>44.095450</td>\n",
       "      <td>26.265394</td>\n",
       "      <td>37.664585</td>\n",
       "      <td>{}</td>\n",
       "      <td>1011654</td>\n",
       "      <td>20151124T025549.582123_i2325j546.png</td>\n",
       "      <td>1</td>\n",
       "      <td>18.832293</td>\n",
       "      <td>{}</td>\n",
       "      <td>6</td>\n",
       "      <td>3</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [470, 470,...</td>\n",
       "      <td>438.421053</td>\n",
       "      <td>25.263158</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1804</th>\n",
       "      <td>4</td>\n",
       "      <td>456.816908</td>\n",
       "      <td>39.358608</td>\n",
       "      <td>26.265394</td>\n",
       "      <td>37.664585</td>\n",
       "      <td>{}</td>\n",
       "      <td>1011654</td>\n",
       "      <td>20151124T025549.582123_i2325j546.png</td>\n",
       "      <td>1</td>\n",
       "      <td>18.832293</td>\n",
       "      <td>{}</td>\n",
       "      <td>6</td>\n",
       "      <td>4</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [475, 475,...</td>\n",
       "      <td>443.684211</td>\n",
       "      <td>20.526316</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1805</th>\n",
       "      <td>5</td>\n",
       "      <td>55.543371</td>\n",
       "      <td>244.366021</td>\n",
       "      <td>38.455164</td>\n",
       "      <td>45.574148</td>\n",
       "      <td>{}</td>\n",
       "      <td>1011654</td>\n",
       "      <td>20151124T025549.582123_i2325j546.png</td>\n",
       "      <td>1</td>\n",
       "      <td>22.787074</td>\n",
       "      <td>{}</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [78, 78, 7...</td>\n",
       "      <td>36.315789</td>\n",
       "      <td>221.578947</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1806</th>\n",
       "      <td>0</td>\n",
       "      <td>320.714004</td>\n",
       "      <td>215.153494</td>\n",
       "      <td>44.957420</td>\n",
       "      <td>53.836400</td>\n",
       "      <td>{}</td>\n",
       "      <td>1012989</td>\n",
       "      <td>20151124T041630.242955_i2427j605.png</td>\n",
       "      <td>1</td>\n",
       "      <td>26.918200</td>\n",
       "      <td>{}</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [347, 347,...</td>\n",
       "      <td>298.235294</td>\n",
       "      <td>188.235294</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1807</th>\n",
       "      <td>1</td>\n",
       "      <td>246.975215</td>\n",
       "      <td>231.777281</td>\n",
       "      <td>32.773959</td>\n",
       "      <td>31.789856</td>\n",
       "      <td>{}</td>\n",
       "      <td>1012989</td>\n",
       "      <td>20151124T041630.242955_i2427j605.png</td>\n",
       "      <td>1</td>\n",
       "      <td>16.386980</td>\n",
       "      <td>{}</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [263, 263,...</td>\n",
       "      <td>230.588235</td>\n",
       "      <td>215.882353</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1808</th>\n",
       "      <td>2</td>\n",
       "      <td>120.504627</td>\n",
       "      <td>346.775411</td>\n",
       "      <td>32.773959</td>\n",
       "      <td>51.197881</td>\n",
       "      <td>{}</td>\n",
       "      <td>1012989</td>\n",
       "      <td>20151124T041630.242955_i2427j605.png</td>\n",
       "      <td>1</td>\n",
       "      <td>25.598941</td>\n",
       "      <td>{}</td>\n",
       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [146, 146,...</td>\n",
       "      <td>104.117647</td>\n",
       "      <td>321.176471</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1809</th>\n",
       "      <td>3</td>\n",
       "      <td>428.025678</td>\n",
       "      <td>340.664971</td>\n",
       "      <td>36.051355</td>\n",
       "      <td>61.329942</td>\n",
       "      <td>{}</td>\n",
       "      <td>1012989</td>\n",
       "      <td>20151124T041630.242955_i2427j605.png</td>\n",
       "      <td>1</td>\n",
       "      <td>30.664971</td>\n",
       "      <td>{}</td>\n",
       "      <td>6</td>\n",
       "      <td>3</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [458, 458,...</td>\n",
       "      <td>410.000000</td>\n",
       "      <td>310.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1810</th>\n",
       "      <td>4</td>\n",
       "      <td>109.894916</td>\n",
       "      <td>68.695594</td>\n",
       "      <td>29.201598</td>\n",
       "      <td>36.214717</td>\n",
       "      <td>{}</td>\n",
       "      <td>1012989</td>\n",
       "      <td>20151124T041630.242955_i2427j605.png</td>\n",
       "      <td>1</td>\n",
       "      <td>18.107359</td>\n",
       "      <td>{}</td>\n",
       "      <td>6</td>\n",
       "      <td>4</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [128, 127,...</td>\n",
       "      <td>95.294118</td>\n",
       "      <td>50.588235</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1811</th>\n",
       "      <td>5</td>\n",
       "      <td>70.483152</td>\n",
       "      <td>32.225006</td>\n",
       "      <td>29.201598</td>\n",
       "      <td>36.214717</td>\n",
       "      <td>{}</td>\n",
       "      <td>1012989</td>\n",
       "      <td>20151124T041630.242955_i2427j605.png</td>\n",
       "      <td>1</td>\n",
       "      <td>18.107359</td>\n",
       "      <td>{}</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [88, 88, 8...</td>\n",
       "      <td>55.882353</td>\n",
       "      <td>14.117647</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1812</th>\n",
       "      <td>0</td>\n",
       "      <td>153.874201</td>\n",
       "      <td>165.713451</td>\n",
       "      <td>51.958928</td>\n",
       "      <td>60.900586</td>\n",
       "      <td>{}</td>\n",
       "      <td>1035055</td>\n",
       "      <td>20151124T030320.462899_i2317j753.png</td>\n",
       "      <td>1</td>\n",
       "      <td>30.450293</td>\n",
       "      <td>{}</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [184, 184,...</td>\n",
       "      <td>127.894737</td>\n",
       "      <td>135.263158</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1813</th>\n",
       "      <td>0</td>\n",
       "      <td>245.283784</td>\n",
       "      <td>223.894966</td>\n",
       "      <td>62.567569</td>\n",
       "      <td>66.456599</td>\n",
       "      <td>{}</td>\n",
       "      <td>1019550</td>\n",
       "      <td>20151124T024604.399693_i1984j1639.png</td>\n",
       "      <td>1</td>\n",
       "      <td>33.228299</td>\n",
       "      <td>{}</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [278, 278,...</td>\n",
       "      <td>214.000000</td>\n",
       "      <td>190.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1814</th>\n",
       "      <td>1</td>\n",
       "      <td>461.858624</td>\n",
       "      <td>189.801087</td>\n",
       "      <td>41.050582</td>\n",
       "      <td>43.602174</td>\n",
       "      <td>{}</td>\n",
       "      <td>1019550</td>\n",
       "      <td>20151124T024604.399693_i1984j1639.png</td>\n",
       "      <td>1</td>\n",
       "      <td>21.801087</td>\n",
       "      <td>{}</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [483, 483,...</td>\n",
       "      <td>441.333333</td>\n",
       "      <td>168.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1815</th>\n",
       "      <td>2</td>\n",
       "      <td>273.883671</td>\n",
       "      <td>218.790296</td>\n",
       "      <td>54.083132</td>\n",
       "      <td>71.264803</td>\n",
       "      <td>{}</td>\n",
       "      <td>1019550</td>\n",
       "      <td>20151124T024604.399693_i1984j1639.png</td>\n",
       "      <td>1</td>\n",
       "      <td>35.632401</td>\n",
       "      <td>{}</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [309, 309,...</td>\n",
       "      <td>246.842105</td>\n",
       "      <td>183.157895</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1816</th>\n",
       "      <td>0</td>\n",
       "      <td>438.978093</td>\n",
       "      <td>428.297698</td>\n",
       "      <td>34.146663</td>\n",
       "      <td>39.452539</td>\n",
       "      <td>{}</td>\n",
       "      <td>1075096</td>\n",
       "      <td>20151124T043954.775698_i1545j665.png</td>\n",
       "      <td>1</td>\n",
       "      <td>19.726270</td>\n",
       "      <td>{}</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [458, 458,...</td>\n",
       "      <td>421.904762</td>\n",
       "      <td>408.571429</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1817</th>\n",
       "      <td>1</td>\n",
       "      <td>469.067494</td>\n",
       "      <td>357.883040</td>\n",
       "      <td>27.658797</td>\n",
       "      <td>31.956557</td>\n",
       "      <td>{}</td>\n",
       "      <td>1075096</td>\n",
       "      <td>20151124T043954.775698_i1545j665.png</td>\n",
       "      <td>1</td>\n",
       "      <td>15.978278</td>\n",
       "      <td>{}</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [485, 485,...</td>\n",
       "      <td>455.238095</td>\n",
       "      <td>341.904762</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1818</th>\n",
       "      <td>2</td>\n",
       "      <td>63.398839</td>\n",
       "      <td>429.618546</td>\n",
       "      <td>24.892917</td>\n",
       "      <td>28.760901</td>\n",
       "      <td>{}</td>\n",
       "      <td>1075096</td>\n",
       "      <td>20151124T043954.775698_i1545j665.png</td>\n",
       "      <td>1</td>\n",
       "      <td>14.380451</td>\n",
       "      <td>{}</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [77, 77, 7...</td>\n",
       "      <td>50.952381</td>\n",
       "      <td>415.238095</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1819</th>\n",
       "      <td>3</td>\n",
       "      <td>105.319727</td>\n",
       "      <td>434.981498</td>\n",
       "      <td>20.163263</td>\n",
       "      <td>23.296330</td>\n",
       "      <td>{}</td>\n",
       "      <td>1075096</td>\n",
       "      <td>20151124T043954.775698_i1545j665.png</td>\n",
       "      <td>1</td>\n",
       "      <td>11.648165</td>\n",
       "      <td>{}</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [116, 116,...</td>\n",
       "      <td>95.238095</td>\n",
       "      <td>423.333333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1820</th>\n",
       "      <td>0</td>\n",
       "      <td>234.649415</td>\n",
       "      <td>69.238758</td>\n",
       "      <td>35.614620</td>\n",
       "      <td>37.424885</td>\n",
       "      <td>{}</td>\n",
       "      <td>1017724</td>\n",
       "      <td>20151124T025858.864128_i2101j1866.png</td>\n",
       "      <td>1</td>\n",
       "      <td>18.712442</td>\n",
       "      <td>{}</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [253, 253,...</td>\n",
       "      <td>216.842105</td>\n",
       "      <td>50.526316</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1821</th>\n",
       "      <td>1</td>\n",
       "      <td>201.491520</td>\n",
       "      <td>191.870337</td>\n",
       "      <td>35.614620</td>\n",
       "      <td>37.424885</td>\n",
       "      <td>{}</td>\n",
       "      <td>1017724</td>\n",
       "      <td>20151124T025858.864128_i2101j1866.png</td>\n",
       "      <td>1</td>\n",
       "      <td>18.712442</td>\n",
       "      <td>{}</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [220, 220,...</td>\n",
       "      <td>183.684211</td>\n",
       "      <td>173.157895</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1822</th>\n",
       "      <td>2</td>\n",
       "      <td>62.073161</td>\n",
       "      <td>397.537840</td>\n",
       "      <td>43.093690</td>\n",
       "      <td>49.812522</td>\n",
       "      <td>{}</td>\n",
       "      <td>1017724</td>\n",
       "      <td>20151124T025858.864128_i2101j1866.png</td>\n",
       "      <td>1</td>\n",
       "      <td>24.906261</td>\n",
       "      <td>{}</td>\n",
       "      <td>8</td>\n",
       "      <td>2</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [86, 86, 8...</td>\n",
       "      <td>40.526316</td>\n",
       "      <td>372.631579</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1823</th>\n",
       "      <td>3</td>\n",
       "      <td>28.865845</td>\n",
       "      <td>426.099845</td>\n",
       "      <td>38.784321</td>\n",
       "      <td>44.831270</td>\n",
       "      <td>{}</td>\n",
       "      <td>1017724</td>\n",
       "      <td>20151124T025858.864128_i2101j1866.png</td>\n",
       "      <td>1</td>\n",
       "      <td>22.415635</td>\n",
       "      <td>{}</td>\n",
       "      <td>8</td>\n",
       "      <td>3</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [51, 51, 5...</td>\n",
       "      <td>9.473684</td>\n",
       "      <td>403.684211</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1824</th>\n",
       "      <td>4</td>\n",
       "      <td>407.916229</td>\n",
       "      <td>483.994582</td>\n",
       "      <td>51.621931</td>\n",
       "      <td>44.831270</td>\n",
       "      <td>{}</td>\n",
       "      <td>1017724</td>\n",
       "      <td>20151124T025858.864128_i2101j1866.png</td>\n",
       "      <td>1</td>\n",
       "      <td>25.810966</td>\n",
       "      <td>{}</td>\n",
       "      <td>8</td>\n",
       "      <td>4</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [433, 433,...</td>\n",
       "      <td>382.105263</td>\n",
       "      <td>461.578947</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1825</th>\n",
       "      <td>5</td>\n",
       "      <td>508.710751</td>\n",
       "      <td>312.551935</td>\n",
       "      <td>51.105712</td>\n",
       "      <td>49.314397</td>\n",
       "      <td>{}</td>\n",
       "      <td>1017724</td>\n",
       "      <td>20151124T025858.864128_i2101j1866.png</td>\n",
       "      <td>1</td>\n",
       "      <td>25.552856</td>\n",
       "      <td>{}</td>\n",
       "      <td>8</td>\n",
       "      <td>5</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [499, 499,...</td>\n",
       "      <td>483.157895</td>\n",
       "      <td>287.894737</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1826</th>\n",
       "      <td>6</td>\n",
       "      <td>242.997570</td>\n",
       "      <td>245.349373</td>\n",
       "      <td>45.995141</td>\n",
       "      <td>44.382957</td>\n",
       "      <td>{}</td>\n",
       "      <td>1017724</td>\n",
       "      <td>20151124T025858.864128_i2101j1866.png</td>\n",
       "      <td>1</td>\n",
       "      <td>22.997570</td>\n",
       "      <td>{}</td>\n",
       "      <td>8</td>\n",
       "      <td>6</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [265, 265,...</td>\n",
       "      <td>220.000000</td>\n",
       "      <td>223.157895</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1827</th>\n",
       "      <td>7</td>\n",
       "      <td>450.365943</td>\n",
       "      <td>482.094078</td>\n",
       "      <td>48.100306</td>\n",
       "      <td>34.714472</td>\n",
       "      <td>{}</td>\n",
       "      <td>1017724</td>\n",
       "      <td>20151124T025858.864128_i2101j1866.png</td>\n",
       "      <td>1</td>\n",
       "      <td>24.050153</td>\n",
       "      <td>{}</td>\n",
       "      <td>8</td>\n",
       "      <td>7</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [474, 474,...</td>\n",
       "      <td>426.315789</td>\n",
       "      <td>464.736842</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1828</th>\n",
       "      <td>0</td>\n",
       "      <td>477.282579</td>\n",
       "      <td>401.025558</td>\n",
       "      <td>41.933579</td>\n",
       "      <td>45.209010</td>\n",
       "      <td>{}</td>\n",
       "      <td>1051629</td>\n",
       "      <td>20151124T024358.194594_i1461j1599.png</td>\n",
       "      <td>1</td>\n",
       "      <td>22.604505</td>\n",
       "      <td>{}</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [499, 499,...</td>\n",
       "      <td>456.315789</td>\n",
       "      <td>378.421053</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1829</th>\n",
       "      <td>0</td>\n",
       "      <td>85.133971</td>\n",
       "      <td>396.417704</td>\n",
       "      <td>35.722488</td>\n",
       "      <td>41.926318</td>\n",
       "      <td>{}</td>\n",
       "      <td>1011673</td>\n",
       "      <td>20151124T031810.548679_i1603j275.png</td>\n",
       "      <td>1</td>\n",
       "      <td>20.963159</td>\n",
       "      <td>{}</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [106, 106,...</td>\n",
       "      <td>67.272727</td>\n",
       "      <td>375.454545</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1830 rows × 16 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     #item          cx          cy         dx         dy file_attributes  \\\n",
       "0        0   87.990324  170.609877  30.717490  29.640806              {}   \n",
       "1        1  168.033397  188.075205  27.645741  26.676725              {}   \n",
       "2        2  289.612344  103.507840  27.645741  32.278838              {}   \n",
       "3        3  452.440584   32.420214  24.881167  29.050954              {}   \n",
       "4        4  471.387952   31.367582  24.881167  29.050954              {}   \n",
       "5        5  414.000474  281.786354  30.106212  35.151654              {}   \n",
       "6        6  435.755296  259.357214  24.142171  28.188112              {}   \n",
       "7        7  330.897743  421.137900  23.900750  30.696854              {}   \n",
       "8        8  148.934886  386.401058  26.290825  30.696854              {}   \n",
       "9        9  114.331995  239.800647  21.295568  24.864451              {}   \n",
       "10      10   84.870457  132.622817  23.425125  27.350897              {}   \n",
       "11       0  225.024797  422.344522  22.990771  29.394926              {}   \n",
       "12       0   28.451043  371.034061  33.744192  41.015490              {}   \n",
       "13       1   22.087450  323.162250  27.332795  24.219237              {}   \n",
       "14       2  447.062657  357.203376  33.072682  35.459384              {}   \n",
       "15       3  412.777444  308.045261  29.765414  28.722101              {}   \n",
       "16       4  472.777444  231.521838  29.765414  20.938412              {}   \n",
       "17       5  308.370782  454.575040  24.109985  20.729028              {}   \n",
       "18       0  245.157077  212.705785  50.314153  45.411571              {}   \n",
       "19       1   80.304363  391.800348  55.345569  60.442800              {}   \n",
       "20       2   45.436618  442.374071  40.346920  48.958668              {}   \n",
       "21       3   78.620413  458.567363  48.819773  59.239989              {}   \n",
       "22       4  252.830939  424.812468  48.819773  52.782830              {}   \n",
       "23       5  404.074161  407.962800  43.937795  47.504547              {}   \n",
       "24       6  357.207993  475.520189  41.784406  44.724588              {}   \n",
       "25       7  221.659527  486.302112  33.845369  32.604225              {}   \n",
       "26       8  435.812638  127.941553  27.414749  26.409422              {}   \n",
       "27       0   46.091805  131.339164  35.341504  34.257275              {}   \n",
       "28       1  488.751111  274.400512  20.660117  27.748393              {}   \n",
       "29       2  208.130891  449.777795  29.945992  33.239800              {}   \n",
       "...    ...         ...         ...        ...        ...             ...   \n",
       "1800     0  386.903292  131.875943  32.753952  42.699254              {}   \n",
       "1801     1  370.359868   76.090194  23.877631  31.127756              {}   \n",
       "1802     2  372.465131   70.827036  23.877631  31.127756              {}   \n",
       "1803     3  451.553750   44.095450  26.265394  37.664585              {}   \n",
       "1804     4  456.816908   39.358608  26.265394  37.664585              {}   \n",
       "1805     5   55.543371  244.366021  38.455164  45.574148              {}   \n",
       "1806     0  320.714004  215.153494  44.957420  53.836400              {}   \n",
       "1807     1  246.975215  231.777281  32.773959  31.789856              {}   \n",
       "1808     2  120.504627  346.775411  32.773959  51.197881              {}   \n",
       "1809     3  428.025678  340.664971  36.051355  61.329942              {}   \n",
       "1810     4  109.894916   68.695594  29.201598  36.214717              {}   \n",
       "1811     5   70.483152   32.225006  29.201598  36.214717              {}   \n",
       "1812     0  153.874201  165.713451  51.958928  60.900586              {}   \n",
       "1813     0  245.283784  223.894966  62.567569  66.456599              {}   \n",
       "1814     1  461.858624  189.801087  41.050582  43.602174              {}   \n",
       "1815     2  273.883671  218.790296  54.083132  71.264803              {}   \n",
       "1816     0  438.978093  428.297698  34.146663  39.452539              {}   \n",
       "1817     1  469.067494  357.883040  27.658797  31.956557              {}   \n",
       "1818     2   63.398839  429.618546  24.892917  28.760901              {}   \n",
       "1819     3  105.319727  434.981498  20.163263  23.296330              {}   \n",
       "1820     0  234.649415   69.238758  35.614620  37.424885              {}   \n",
       "1821     1  201.491520  191.870337  35.614620  37.424885              {}   \n",
       "1822     2   62.073161  397.537840  43.093690  49.812522              {}   \n",
       "1823     3   28.865845  426.099845  38.784321  44.831270              {}   \n",
       "1824     4  407.916229  483.994582  51.621931  44.831270              {}   \n",
       "1825     5  508.710751  312.551935  51.105712  49.314397              {}   \n",
       "1826     6  242.997570  245.349373  45.995141  44.382957              {}   \n",
       "1827     7  450.365943  482.094078  48.100306  34.714472              {}   \n",
       "1828     0  477.282579  401.025558  41.933579  45.209010              {}   \n",
       "1829     0   85.133971  396.417704  35.722488  41.926318              {}   \n",
       "\n",
       "      file_size                               filename label     radius  \\\n",
       "0       1056928  20151124T025049.132800_i1923j1012.png     1  15.358745   \n",
       "1       1056928  20151124T025049.132800_i1923j1012.png     1  13.822871   \n",
       "2       1056928  20151124T025049.132800_i1923j1012.png     1  16.139419   \n",
       "3       1056928  20151124T025049.132800_i1923j1012.png     1  14.525477   \n",
       "4       1056928  20151124T025049.132800_i1923j1012.png     1  14.525477   \n",
       "5       1056928  20151124T025049.132800_i1923j1012.png     1  17.575827   \n",
       "6       1056928  20151124T025049.132800_i1923j1012.png     1  14.094056   \n",
       "7       1056928  20151124T025049.132800_i1923j1012.png     1  15.348427   \n",
       "8       1056928  20151124T025049.132800_i1923j1012.png     1  15.348427   \n",
       "9       1056928  20151124T025049.132800_i1923j1012.png     1  12.432226   \n",
       "10      1056928  20151124T025049.132800_i1923j1012.png     1  13.675448   \n",
       "11      1062812  20151124T042953.967490_i1869j1071.png     1  14.697463   \n",
       "12      1035204  20151124T030001.234484_i1735j1192.png     1  20.507745   \n",
       "13      1035204  20151124T030001.234484_i1735j1192.png     1  13.666398   \n",
       "14      1035204  20151124T030001.234484_i1735j1192.png     1  17.729692   \n",
       "15      1035204  20151124T030001.234484_i1735j1192.png     1  14.882707   \n",
       "16      1035204  20151124T030001.234484_i1735j1192.png     1  14.882707   \n",
       "17      1035204  20151124T030001.234484_i1735j1192.png     1  12.054993   \n",
       "18      1008197   20151124T030414.495824_i1968j200.png     1  25.157077   \n",
       "19      1008197   20151124T030414.495824_i1968j200.png     1  30.221400   \n",
       "20      1008197   20151124T030414.495824_i1968j200.png     1  24.479334   \n",
       "21      1008197   20151124T030414.495824_i1968j200.png     1  29.619994   \n",
       "22      1008197   20151124T030414.495824_i1968j200.png     1  26.391415   \n",
       "23      1008197   20151124T030414.495824_i1968j200.png     1  23.752273   \n",
       "24      1008197   20151124T030414.495824_i1968j200.png     1  22.362294   \n",
       "25      1008197   20151124T030414.495824_i1968j200.png     1  16.922685   \n",
       "26      1008197   20151124T030414.495824_i1968j200.png     1  13.707374   \n",
       "27       997717   20151124T025744.168853_i1947j449.png     1  17.670752   \n",
       "28       997717   20151124T025744.168853_i1947j449.png     1  13.874197   \n",
       "29       997717   20151124T025744.168853_i1947j449.png     1  16.619900   \n",
       "...         ...                                    ...   ...        ...   \n",
       "1800    1011654   20151124T025549.582123_i2325j546.png     1  21.349627   \n",
       "1801    1011654   20151124T025549.582123_i2325j546.png     1  15.563878   \n",
       "1802    1011654   20151124T025549.582123_i2325j546.png     1  15.563878   \n",
       "1803    1011654   20151124T025549.582123_i2325j546.png     1  18.832293   \n",
       "1804    1011654   20151124T025549.582123_i2325j546.png     1  18.832293   \n",
       "1805    1011654   20151124T025549.582123_i2325j546.png     1  22.787074   \n",
       "1806    1012989   20151124T041630.242955_i2427j605.png     1  26.918200   \n",
       "1807    1012989   20151124T041630.242955_i2427j605.png     1  16.386980   \n",
       "1808    1012989   20151124T041630.242955_i2427j605.png     1  25.598941   \n",
       "1809    1012989   20151124T041630.242955_i2427j605.png     1  30.664971   \n",
       "1810    1012989   20151124T041630.242955_i2427j605.png     1  18.107359   \n",
       "1811    1012989   20151124T041630.242955_i2427j605.png     1  18.107359   \n",
       "1812    1035055   20151124T030320.462899_i2317j753.png     1  30.450293   \n",
       "1813    1019550  20151124T024604.399693_i1984j1639.png     1  33.228299   \n",
       "1814    1019550  20151124T024604.399693_i1984j1639.png     1  21.801087   \n",
       "1815    1019550  20151124T024604.399693_i1984j1639.png     1  35.632401   \n",
       "1816    1075096   20151124T043954.775698_i1545j665.png     1  19.726270   \n",
       "1817    1075096   20151124T043954.775698_i1545j665.png     1  15.978278   \n",
       "1818    1075096   20151124T043954.775698_i1545j665.png     1  14.380451   \n",
       "1819    1075096   20151124T043954.775698_i1545j665.png     1  11.648165   \n",
       "1820    1017724  20151124T025858.864128_i2101j1866.png     1  18.712442   \n",
       "1821    1017724  20151124T025858.864128_i2101j1866.png     1  18.712442   \n",
       "1822    1017724  20151124T025858.864128_i2101j1866.png     1  24.906261   \n",
       "1823    1017724  20151124T025858.864128_i2101j1866.png     1  22.415635   \n",
       "1824    1017724  20151124T025858.864128_i2101j1866.png     1  25.810966   \n",
       "1825    1017724  20151124T025858.864128_i2101j1866.png     1  25.552856   \n",
       "1826    1017724  20151124T025858.864128_i2101j1866.png     1  22.997570   \n",
       "1827    1017724  20151124T025858.864128_i2101j1866.png     1  24.050153   \n",
       "1828    1051629  20151124T024358.194594_i1461j1599.png     1  22.604505   \n",
       "1829    1011673   20151124T031810.548679_i1603j275.png     1  20.963159   \n",
       "\n",
       "     region_attributes  region_count  region_id  \\\n",
       "0                   {}            11          0   \n",
       "1                   {}            11          1   \n",
       "2                   {}            11          2   \n",
       "3                   {}            11          3   \n",
       "4                   {}            11          4   \n",
       "5                   {}            11          5   \n",
       "6                   {}            11          6   \n",
       "7                   {}            11          7   \n",
       "8                   {}            11          8   \n",
       "9                   {}            11          9   \n",
       "10                  {}            11         10   \n",
       "11                  {}             1          0   \n",
       "12                  {}             6          0   \n",
       "13                  {}             6          1   \n",
       "14                  {}             6          2   \n",
       "15                  {}             6          3   \n",
       "16                  {}             6          4   \n",
       "17                  {}             6          5   \n",
       "18                  {}             9          0   \n",
       "19                  {}             9          1   \n",
       "20                  {}             9          2   \n",
       "21                  {}             9          3   \n",
       "22                  {}             9          4   \n",
       "23                  {}             9          5   \n",
       "24                  {}             9          6   \n",
       "25                  {}             9          7   \n",
       "26                  {}             9          8   \n",
       "27                  {}             5          0   \n",
       "28                  {}             5          1   \n",
       "29                  {}             5          2   \n",
       "...                ...           ...        ...   \n",
       "1800                {}             6          0   \n",
       "1801                {}             6          1   \n",
       "1802                {}             6          2   \n",
       "1803                {}             6          3   \n",
       "1804                {}             6          4   \n",
       "1805                {}             6          5   \n",
       "1806                {}             6          0   \n",
       "1807                {}             6          1   \n",
       "1808                {}             6          2   \n",
       "1809                {}             6          3   \n",
       "1810                {}             6          4   \n",
       "1811                {}             6          5   \n",
       "1812                {}             1          0   \n",
       "1813                {}             3          0   \n",
       "1814                {}             3          1   \n",
       "1815                {}             3          2   \n",
       "1816                {}             4          0   \n",
       "1817                {}             4          1   \n",
       "1818                {}             4          2   \n",
       "1819                {}             4          3   \n",
       "1820                {}             8          0   \n",
       "1821                {}             8          1   \n",
       "1822                {}             8          2   \n",
       "1823                {}             8          3   \n",
       "1824                {}             8          4   \n",
       "1825                {}             8          5   \n",
       "1826                {}             8          6   \n",
       "1827                {}             8          7   \n",
       "1828                {}             1          0   \n",
       "1829                {}             1          0   \n",
       "\n",
       "                                region_shape_attributes           x  \\\n",
       "0     {'name': 'polygon', 'all_points_x': [103, 103,...   72.631579   \n",
       "1     {'name': 'polygon', 'all_points_x': [181, 181,...  154.210526   \n",
       "2     {'name': 'polygon', 'all_points_x': [305, 305,...  275.789474   \n",
       "3     {'name': 'polygon', 'all_points_x': [466, 466,...  440.000000   \n",
       "4     {'name': 'polygon', 'all_points_x': [485, 485,...  458.947368   \n",
       "5     {'name': 'polygon', 'all_points_x': [431, 431,...  398.947368   \n",
       "6     {'name': 'polygon', 'all_points_x': [449, 449,...  423.684211   \n",
       "7     {'name': 'polygon', 'all_points_x': [346, 346,...  318.947368   \n",
       "8     {'name': 'polygon', 'all_points_x': [164, 164,...  135.789474   \n",
       "9     {'name': 'polygon', 'all_points_x': [126, 126,...  103.684211   \n",
       "10    {'name': 'polygon', 'all_points_x': [98, 98, 9...   73.157895   \n",
       "11    {'name': 'polygon', 'all_points_x': [239, 239,...  213.529412   \n",
       "12    {'name': 'polygon', 'all_points_x': [48, 48, 4...   11.578947   \n",
       "13    {'name': 'polygon', 'all_points_x': [35, 35, 3...    8.421053   \n",
       "14    {'name': 'polygon', 'all_points_x': [464, 464,...  430.526316   \n",
       "15    {'name': 'polygon', 'all_points_x': [427, 427,...  397.894737   \n",
       "16    {'name': 'polygon', 'all_points_x': [487, 487,...  457.894737   \n",
       "17    {'name': 'polygon', 'all_points_x': [320, 320,...  296.315789   \n",
       "18    {'name': 'polygon', 'all_points_x': [270, 270,...  220.000000   \n",
       "19    {'name': 'polygon', 'all_points_x': [110, 110,...   52.631579   \n",
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       "29    {'name': 'polygon', 'all_points_x': [224, 224,...  193.157895   \n",
       "...                                                 ...         ...   \n",
       "1800  {'name': 'polygon', 'all_points_x': [408, 408,...  370.526316   \n",
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       "1807  {'name': 'polygon', 'all_points_x': [263, 263,...  230.588235   \n",
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       "1811  {'name': 'polygon', 'all_points_x': [88, 88, 8...   55.882353   \n",
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       "1814  {'name': 'polygon', 'all_points_x': [483, 483,...  441.333333   \n",
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       "1820  {'name': 'polygon', 'all_points_x': [253, 253,...  216.842105   \n",
       "1821  {'name': 'polygon', 'all_points_x': [220, 220,...  183.684211   \n",
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       "1829  {'name': 'polygon', 'all_points_x': [106, 106,...   67.272727   \n",
       "\n",
       "               y  \n",
       "0     155.789474  \n",
       "1     174.736842  \n",
       "2      87.368421  \n",
       "3      17.894737  \n",
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       "5     264.210526  \n",
       "6     245.263158  \n",
       "7     405.789474  \n",
       "8     371.052632  \n",
       "9     227.368421  \n",
       "10    118.947368  \n",
       "11    407.647059  \n",
       "12    350.526316  \n",
       "13    311.052632  \n",
       "14    339.473684  \n",
       "15    293.684211  \n",
       "16    221.052632  \n",
       "17    444.210526  \n",
       "18    190.000000  \n",
       "19    361.578947  \n",
       "20    417.894737  \n",
       "21    428.947368  \n",
       "22    398.421053  \n",
       "23    384.210526  \n",
       "24    453.157895  \n",
       "25    470.000000  \n",
       "26    114.736842  \n",
       "27    114.210526  \n",
       "28    260.526316  \n",
       "29    433.157895  \n",
       "...          ...  \n",
       "1800  110.526316  \n",
       "1801   60.526316  \n",
       "1802   55.263158  \n",
       "1803   25.263158  \n",
       "1804   20.526316  \n",
       "1805  221.578947  \n",
       "1806  188.235294  \n",
       "1807  215.882353  \n",
       "1808  321.176471  \n",
       "1809  310.000000  \n",
       "1810   50.588235  \n",
       "1811   14.117647  \n",
       "1812  135.263158  \n",
       "1813  190.666667  \n",
       "1814  168.000000  \n",
       "1815  183.157895  \n",
       "1816  408.571429  \n",
       "1817  341.904762  \n",
       "1818  415.238095  \n",
       "1819  423.333333  \n",
       "1820   50.526316  \n",
       "1821  173.157895  \n",
       "1822  372.631579  \n",
       "1823  403.684211  \n",
       "1824  461.578947  \n",
       "1825  287.894737  \n",
       "1826  223.157895  \n",
       "1827  464.736842  \n",
       "1828  378.421053  \n",
       "1829  375.454545  \n",
       "\n",
       "[1830 rows x 16 columns]"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "metadf[\"file_size\"] = metadf[\"file_size\"].astype(\"int64\")\n",
    "metadf[\"region_count\"] = metadf[\"region_count\"].astype(\"int64\")\n",
    "metadf['region_id'] = metadf['region_id'].astype(\"int64\")\n",
    "metadf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>20151124T030001.234484_i1735j1192.png</td>\n",
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       "      <td>20151124T030001.234484_i1735j1192.png</td>\n",
       "      <td>1035204</td>\n",
       "      <td>{}</td>\n",
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       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>20151124T030001.234484_i1735j1192.png</td>\n",
       "      <td>1035204</td>\n",
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       "      <td>20151124T030001.234484_i1735j1192.png</td>\n",
       "      <td>1035204</td>\n",
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       "      <td>20151124T030001.234484_i1735j1192.png</td>\n",
       "      <td>1035204</td>\n",
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       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>20151124T030001.234484_i1735j1192.png</td>\n",
       "      <td>1035204</td>\n",
       "      <td>{}</td>\n",
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       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>20151124T030414.495824_i1968j200.png</td>\n",
       "      <td>1008197</td>\n",
       "      <td>{}</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [270, 270,...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>20151124T030414.495824_i1968j200.png</td>\n",
       "      <td>1008197</td>\n",
       "      <td>{}</td>\n",
       "      <td>9</td>\n",
       "      <td>1</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [110, 110,...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>20151124T030414.495824_i1968j200.png</td>\n",
       "      <td>1008197</td>\n",
       "      <td>{}</td>\n",
       "      <td>9</td>\n",
       "      <td>2</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [69, 69, 6...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>20151124T030414.495824_i1968j200.png</td>\n",
       "      <td>1008197</td>\n",
       "      <td>{}</td>\n",
       "      <td>9</td>\n",
       "      <td>3</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [108, 108,...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>20151124T030414.495824_i1968j200.png</td>\n",
       "      <td>1008197</td>\n",
       "      <td>{}</td>\n",
       "      <td>9</td>\n",
       "      <td>4</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [279, 279,...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>20151124T030414.495824_i1968j200.png</td>\n",
       "      <td>1008197</td>\n",
       "      <td>{}</td>\n",
       "      <td>9</td>\n",
       "      <td>5</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [427, 427,...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>20151124T030414.495824_i1968j200.png</td>\n",
       "      <td>1008197</td>\n",
       "      <td>{}</td>\n",
       "      <td>9</td>\n",
       "      <td>6</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [379, 379,...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>20151124T030414.495824_i1968j200.png</td>\n",
       "      <td>1008197</td>\n",
       "      <td>{}</td>\n",
       "      <td>9</td>\n",
       "      <td>7</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [238, 238,...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>20151124T030414.495824_i1968j200.png</td>\n",
       "      <td>1008197</td>\n",
       "      <td>{}</td>\n",
       "      <td>9</td>\n",
       "      <td>8</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [449, 449,...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>20151124T025744.168853_i1947j449.png</td>\n",
       "      <td>997717</td>\n",
       "      <td>{}</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [63, 63, 6...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>20151124T025744.168853_i1947j449.png</td>\n",
       "      <td>997717</td>\n",
       "      <td>{}</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [499, 499,...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>20151124T025744.168853_i1947j449.png</td>\n",
       "      <td>997717</td>\n",
       "      <td>{}</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [224, 224,...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1800</th>\n",
       "      <td>20151124T025549.582123_i2325j546.png</td>\n",
       "      <td>1011654</td>\n",
       "      <td>{}</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [408, 408,...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1801</th>\n",
       "      <td>20151124T025549.582123_i2325j546.png</td>\n",
       "      <td>1011654</td>\n",
       "      <td>{}</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [385, 385,...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1802</th>\n",
       "      <td>20151124T025549.582123_i2325j546.png</td>\n",
       "      <td>1011654</td>\n",
       "      <td>{}</td>\n",
       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [388, 387,...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1803</th>\n",
       "      <td>20151124T025549.582123_i2325j546.png</td>\n",
       "      <td>1011654</td>\n",
       "      <td>{}</td>\n",
       "      <td>6</td>\n",
       "      <td>3</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [470, 470,...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1804</th>\n",
       "      <td>20151124T025549.582123_i2325j546.png</td>\n",
       "      <td>1011654</td>\n",
       "      <td>{}</td>\n",
       "      <td>6</td>\n",
       "      <td>4</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [475, 475,...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1805</th>\n",
       "      <td>20151124T025549.582123_i2325j546.png</td>\n",
       "      <td>1011654</td>\n",
       "      <td>{}</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [78, 78, 7...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1806</th>\n",
       "      <td>20151124T041630.242955_i2427j605.png</td>\n",
       "      <td>1012989</td>\n",
       "      <td>{}</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [347, 347,...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1807</th>\n",
       "      <td>20151124T041630.242955_i2427j605.png</td>\n",
       "      <td>1012989</td>\n",
       "      <td>{}</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [263, 263,...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1808</th>\n",
       "      <td>20151124T041630.242955_i2427j605.png</td>\n",
       "      <td>1012989</td>\n",
       "      <td>{}</td>\n",
       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [146, 146,...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1809</th>\n",
       "      <td>20151124T041630.242955_i2427j605.png</td>\n",
       "      <td>1012989</td>\n",
       "      <td>{}</td>\n",
       "      <td>6</td>\n",
       "      <td>3</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [458, 458,...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1810</th>\n",
       "      <td>20151124T041630.242955_i2427j605.png</td>\n",
       "      <td>1012989</td>\n",
       "      <td>{}</td>\n",
       "      <td>6</td>\n",
       "      <td>4</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [128, 127,...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1811</th>\n",
       "      <td>20151124T041630.242955_i2427j605.png</td>\n",
       "      <td>1012989</td>\n",
       "      <td>{}</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [88, 88, 8...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1812</th>\n",
       "      <td>20151124T030320.462899_i2317j753.png</td>\n",
       "      <td>1035055</td>\n",
       "      <td>{}</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [184, 184,...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1813</th>\n",
       "      <td>20151124T024604.399693_i1984j1639.png</td>\n",
       "      <td>1019550</td>\n",
       "      <td>{}</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [278, 278,...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1814</th>\n",
       "      <td>20151124T024604.399693_i1984j1639.png</td>\n",
       "      <td>1019550</td>\n",
       "      <td>{}</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [483, 483,...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1815</th>\n",
       "      <td>20151124T024604.399693_i1984j1639.png</td>\n",
       "      <td>1019550</td>\n",
       "      <td>{}</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [309, 309,...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1816</th>\n",
       "      <td>20151124T043954.775698_i1545j665.png</td>\n",
       "      <td>1075096</td>\n",
       "      <td>{}</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [458, 458,...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1817</th>\n",
       "      <td>20151124T043954.775698_i1545j665.png</td>\n",
       "      <td>1075096</td>\n",
       "      <td>{}</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [485, 485,...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1818</th>\n",
       "      <td>20151124T043954.775698_i1545j665.png</td>\n",
       "      <td>1075096</td>\n",
       "      <td>{}</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [77, 77, 7...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1819</th>\n",
       "      <td>20151124T043954.775698_i1545j665.png</td>\n",
       "      <td>1075096</td>\n",
       "      <td>{}</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [116, 116,...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1820</th>\n",
       "      <td>20151124T025858.864128_i2101j1866.png</td>\n",
       "      <td>1017724</td>\n",
       "      <td>{}</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [253, 253,...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1821</th>\n",
       "      <td>20151124T025858.864128_i2101j1866.png</td>\n",
       "      <td>1017724</td>\n",
       "      <td>{}</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [220, 220,...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1822</th>\n",
       "      <td>20151124T025858.864128_i2101j1866.png</td>\n",
       "      <td>1017724</td>\n",
       "      <td>{}</td>\n",
       "      <td>8</td>\n",
       "      <td>2</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [86, 86, 8...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1823</th>\n",
       "      <td>20151124T025858.864128_i2101j1866.png</td>\n",
       "      <td>1017724</td>\n",
       "      <td>{}</td>\n",
       "      <td>8</td>\n",
       "      <td>3</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [51, 51, 5...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1824</th>\n",
       "      <td>20151124T025858.864128_i2101j1866.png</td>\n",
       "      <td>1017724</td>\n",
       "      <td>{}</td>\n",
       "      <td>8</td>\n",
       "      <td>4</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [433, 433,...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1825</th>\n",
       "      <td>20151124T025858.864128_i2101j1866.png</td>\n",
       "      <td>1017724</td>\n",
       "      <td>{}</td>\n",
       "      <td>8</td>\n",
       "      <td>5</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [499, 499,...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1826</th>\n",
       "      <td>20151124T025858.864128_i2101j1866.png</td>\n",
       "      <td>1017724</td>\n",
       "      <td>{}</td>\n",
       "      <td>8</td>\n",
       "      <td>6</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [265, 265,...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1827</th>\n",
       "      <td>20151124T025858.864128_i2101j1866.png</td>\n",
       "      <td>1017724</td>\n",
       "      <td>{}</td>\n",
       "      <td>8</td>\n",
       "      <td>7</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [474, 474,...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1828</th>\n",
       "      <td>20151124T024358.194594_i1461j1599.png</td>\n",
       "      <td>1051629</td>\n",
       "      <td>{}</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [499, 499,...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1829</th>\n",
       "      <td>20151124T031810.548679_i1603j275.png</td>\n",
       "      <td>1011673</td>\n",
       "      <td>{}</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>{'name': 'polygon', 'all_points_x': [106, 106,...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1830 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                   filename  file_size file_attributes  \\\n",
       "0     20151124T025049.132800_i1923j1012.png    1056928              {}   \n",
       "1     20151124T025049.132800_i1923j1012.png    1056928              {}   \n",
       "2     20151124T025049.132800_i1923j1012.png    1056928              {}   \n",
       "3     20151124T025049.132800_i1923j1012.png    1056928              {}   \n",
       "4     20151124T025049.132800_i1923j1012.png    1056928              {}   \n",
       "5     20151124T025049.132800_i1923j1012.png    1056928              {}   \n",
       "6     20151124T025049.132800_i1923j1012.png    1056928              {}   \n",
       "7     20151124T025049.132800_i1923j1012.png    1056928              {}   \n",
       "8     20151124T025049.132800_i1923j1012.png    1056928              {}   \n",
       "9     20151124T025049.132800_i1923j1012.png    1056928              {}   \n",
       "10    20151124T025049.132800_i1923j1012.png    1056928              {}   \n",
       "11    20151124T042953.967490_i1869j1071.png    1062812              {}   \n",
       "12    20151124T030001.234484_i1735j1192.png    1035204              {}   \n",
       "13    20151124T030001.234484_i1735j1192.png    1035204              {}   \n",
       "14    20151124T030001.234484_i1735j1192.png    1035204              {}   \n",
       "15    20151124T030001.234484_i1735j1192.png    1035204              {}   \n",
       "16    20151124T030001.234484_i1735j1192.png    1035204              {}   \n",
       "17    20151124T030001.234484_i1735j1192.png    1035204              {}   \n",
       "18     20151124T030414.495824_i1968j200.png    1008197              {}   \n",
       "19     20151124T030414.495824_i1968j200.png    1008197              {}   \n",
       "20     20151124T030414.495824_i1968j200.png    1008197              {}   \n",
       "21     20151124T030414.495824_i1968j200.png    1008197              {}   \n",
       "22     20151124T030414.495824_i1968j200.png    1008197              {}   \n",
       "23     20151124T030414.495824_i1968j200.png    1008197              {}   \n",
       "24     20151124T030414.495824_i1968j200.png    1008197              {}   \n",
       "25     20151124T030414.495824_i1968j200.png    1008197              {}   \n",
       "26     20151124T030414.495824_i1968j200.png    1008197              {}   \n",
       "27     20151124T025744.168853_i1947j449.png     997717              {}   \n",
       "28     20151124T025744.168853_i1947j449.png     997717              {}   \n",
       "29     20151124T025744.168853_i1947j449.png     997717              {}   \n",
       "...                                     ...        ...             ...   \n",
       "1800   20151124T025549.582123_i2325j546.png    1011654              {}   \n",
       "1801   20151124T025549.582123_i2325j546.png    1011654              {}   \n",
       "1802   20151124T025549.582123_i2325j546.png    1011654              {}   \n",
       "1803   20151124T025549.582123_i2325j546.png    1011654              {}   \n",
       "1804   20151124T025549.582123_i2325j546.png    1011654              {}   \n",
       "1805   20151124T025549.582123_i2325j546.png    1011654              {}   \n",
       "1806   20151124T041630.242955_i2427j605.png    1012989              {}   \n",
       "1807   20151124T041630.242955_i2427j605.png    1012989              {}   \n",
       "1808   20151124T041630.242955_i2427j605.png    1012989              {}   \n",
       "1809   20151124T041630.242955_i2427j605.png    1012989              {}   \n",
       "1810   20151124T041630.242955_i2427j605.png    1012989              {}   \n",
       "1811   20151124T041630.242955_i2427j605.png    1012989              {}   \n",
       "1812   20151124T030320.462899_i2317j753.png    1035055              {}   \n",
       "1813  20151124T024604.399693_i1984j1639.png    1019550              {}   \n",
       "1814  20151124T024604.399693_i1984j1639.png    1019550              {}   \n",
       "1815  20151124T024604.399693_i1984j1639.png    1019550              {}   \n",
       "1816   20151124T043954.775698_i1545j665.png    1075096              {}   \n",
       "1817   20151124T043954.775698_i1545j665.png    1075096              {}   \n",
       "1818   20151124T043954.775698_i1545j665.png    1075096              {}   \n",
       "1819   20151124T043954.775698_i1545j665.png    1075096              {}   \n",
       "1820  20151124T025858.864128_i2101j1866.png    1017724              {}   \n",
       "1821  20151124T025858.864128_i2101j1866.png    1017724              {}   \n",
       "1822  20151124T025858.864128_i2101j1866.png    1017724              {}   \n",
       "1823  20151124T025858.864128_i2101j1866.png    1017724              {}   \n",
       "1824  20151124T025858.864128_i2101j1866.png    1017724              {}   \n",
       "1825  20151124T025858.864128_i2101j1866.png    1017724              {}   \n",
       "1826  20151124T025858.864128_i2101j1866.png    1017724              {}   \n",
       "1827  20151124T025858.864128_i2101j1866.png    1017724              {}   \n",
       "1828  20151124T024358.194594_i1461j1599.png    1051629              {}   \n",
       "1829   20151124T031810.548679_i1603j275.png    1011673              {}   \n",
       "\n",
       "      region_count  region_id  \\\n",
       "0               11          0   \n",
       "1               11          1   \n",
       "2               11          2   \n",
       "3               11          3   \n",
       "4               11          4   \n",
       "5               11          5   \n",
       "6               11          6   \n",
       "7               11          7   \n",
       "8               11          8   \n",
       "9               11          9   \n",
       "10              11         10   \n",
       "11               1          0   \n",
       "12               6          0   \n",
       "13               6          1   \n",
       "14               6          2   \n",
       "15               6          3   \n",
       "16               6          4   \n",
       "17               6          5   \n",
       "18               9          0   \n",
       "19               9          1   \n",
       "20               9          2   \n",
       "21               9          3   \n",
       "22               9          4   \n",
       "23               9          5   \n",
       "24               9          6   \n",
       "25               9          7   \n",
       "26               9          8   \n",
       "27               5          0   \n",
       "28               5          1   \n",
       "29               5          2   \n",
       "...            ...        ...   \n",
       "1800             6          0   \n",
       "1801             6          1   \n",
       "1802             6          2   \n",
       "1803             6          3   \n",
       "1804             6          4   \n",
       "1805             6          5   \n",
       "1806             6          0   \n",
       "1807             6          1   \n",
       "1808             6          2   \n",
       "1809             6          3   \n",
       "1810             6          4   \n",
       "1811             6          5   \n",
       "1812             1          0   \n",
       "1813             3          0   \n",
       "1814             3          1   \n",
       "1815             3          2   \n",
       "1816             4          0   \n",
       "1817             4          1   \n",
       "1818             4          2   \n",
       "1819             4          3   \n",
       "1820             8          0   \n",
       "1821             8          1   \n",
       "1822             8          2   \n",
       "1823             8          3   \n",
       "1824             8          4   \n",
       "1825             8          5   \n",
       "1826             8          6   \n",
       "1827             8          7   \n",
       "1828             1          0   \n",
       "1829             1          0   \n",
       "\n",
       "                                region_shape_attributes region_attributes  \n",
       "0     {'name': 'polygon', 'all_points_x': [103, 103,...                {}  \n",
       "1     {'name': 'polygon', 'all_points_x': [181, 181,...                {}  \n",
       "2     {'name': 'polygon', 'all_points_x': [305, 305,...                {}  \n",
       "3     {'name': 'polygon', 'all_points_x': [466, 466,...                {}  \n",
       "4     {'name': 'polygon', 'all_points_x': [485, 485,...                {}  \n",
       "5     {'name': 'polygon', 'all_points_x': [431, 431,...                {}  \n",
       "6     {'name': 'polygon', 'all_points_x': [449, 449,...                {}  \n",
       "7     {'name': 'polygon', 'all_points_x': [346, 346,...                {}  \n",
       "8     {'name': 'polygon', 'all_points_x': [164, 164,...                {}  \n",
       "9     {'name': 'polygon', 'all_points_x': [126, 126,...                {}  \n",
       "10    {'name': 'polygon', 'all_points_x': [98, 98, 9...                {}  \n",
       "11    {'name': 'polygon', 'all_points_x': [239, 239,...                {}  \n",
       "12    {'name': 'polygon', 'all_points_x': [48, 48, 4...                {}  \n",
       "13    {'name': 'polygon', 'all_points_x': [35, 35, 3...                {}  \n",
       "14    {'name': 'polygon', 'all_points_x': [464, 464,...                {}  \n",
       "15    {'name': 'polygon', 'all_points_x': [427, 427,...                {}  \n",
       "16    {'name': 'polygon', 'all_points_x': [487, 487,...                {}  \n",
       "17    {'name': 'polygon', 'all_points_x': [320, 320,...                {}  \n",
       "18    {'name': 'polygon', 'all_points_x': [270, 270,...                {}  \n",
       "19    {'name': 'polygon', 'all_points_x': [110, 110,...                {}  \n",
       "20    {'name': 'polygon', 'all_points_x': [69, 69, 6...                {}  \n",
       "21    {'name': 'polygon', 'all_points_x': [108, 108,...                {}  \n",
       "22    {'name': 'polygon', 'all_points_x': [279, 279,...                {}  \n",
       "23    {'name': 'polygon', 'all_points_x': [427, 427,...                {}  \n",
       "24    {'name': 'polygon', 'all_points_x': [379, 379,...                {}  \n",
       "25    {'name': 'polygon', 'all_points_x': [238, 238,...                {}  \n",
       "26    {'name': 'polygon', 'all_points_x': [449, 449,...                {}  \n",
       "27    {'name': 'polygon', 'all_points_x': [63, 63, 6...                {}  \n",
       "28    {'name': 'polygon', 'all_points_x': [499, 499,...                {}  \n",
       "29    {'name': 'polygon', 'all_points_x': [224, 224,...                {}  \n",
       "...                                                 ...               ...  \n",
       "1800  {'name': 'polygon', 'all_points_x': [408, 408,...                {}  \n",
       "1801  {'name': 'polygon', 'all_points_x': [385, 385,...                {}  \n",
       "1802  {'name': 'polygon', 'all_points_x': [388, 387,...                {}  \n",
       "1803  {'name': 'polygon', 'all_points_x': [470, 470,...                {}  \n",
       "1804  {'name': 'polygon', 'all_points_x': [475, 475,...                {}  \n",
       "1805  {'name': 'polygon', 'all_points_x': [78, 78, 7...                {}  \n",
       "1806  {'name': 'polygon', 'all_points_x': [347, 347,...                {}  \n",
       "1807  {'name': 'polygon', 'all_points_x': [263, 263,...                {}  \n",
       "1808  {'name': 'polygon', 'all_points_x': [146, 146,...                {}  \n",
       "1809  {'name': 'polygon', 'all_points_x': [458, 458,...                {}  \n",
       "1810  {'name': 'polygon', 'all_points_x': [128, 127,...                {}  \n",
       "1811  {'name': 'polygon', 'all_points_x': [88, 88, 8...                {}  \n",
       "1812  {'name': 'polygon', 'all_points_x': [184, 184,...                {}  \n",
       "1813  {'name': 'polygon', 'all_points_x': [278, 278,...                {}  \n",
       "1814  {'name': 'polygon', 'all_points_x': [483, 483,...                {}  \n",
       "1815  {'name': 'polygon', 'all_points_x': [309, 309,...                {}  \n",
       "1816  {'name': 'polygon', 'all_points_x': [458, 458,...                {}  \n",
       "1817  {'name': 'polygon', 'all_points_x': [485, 485,...                {}  \n",
       "1818  {'name': 'polygon', 'all_points_x': [77, 77, 7...                {}  \n",
       "1819  {'name': 'polygon', 'all_points_x': [116, 116,...                {}  \n",
       "1820  {'name': 'polygon', 'all_points_x': [253, 253,...                {}  \n",
       "1821  {'name': 'polygon', 'all_points_x': [220, 220,...                {}  \n",
       "1822  {'name': 'polygon', 'all_points_x': [86, 86, 8...                {}  \n",
       "1823  {'name': 'polygon', 'all_points_x': [51, 51, 5...                {}  \n",
       "1824  {'name': 'polygon', 'all_points_x': [433, 433,...                {}  \n",
       "1825  {'name': 'polygon', 'all_points_x': [499, 499,...                {}  \n",
       "1826  {'name': 'polygon', 'all_points_x': [265, 265,...                {}  \n",
       "1827  {'name': 'polygon', 'all_points_x': [474, 474,...                {}  \n",
       "1828  {'name': 'polygon', 'all_points_x': [499, 499,...                {}  \n",
       "1829  {'name': 'polygon', 'all_points_x': [106, 106,...                {}  \n",
       "\n",
       "[1830 rows x 7 columns]"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "metadf2=metadf.drop(['#item', 'cx','cy','radius','label','x','y'], axis = 1) \n",
    "metadf2 = metadf[['filename', 'file_size',\n",
    "       'file_attributes', 'region_count', 'region_id',\n",
    "       'region_shape_attributes', 'region_attributes']]\n",
    "metadf2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "# metadf2.to_csv(os.path.join(os.getcwd(),'train_final.csv'),index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# ROUGH SPACE"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "ename": "FileNotFoundError",
     "evalue": "[Errno 2] No such file or directory: '/home/kiprono/Documents/STELLENBOSCH UNIVERISTY/Masters by Research/Mask RCNN/Annotation projects/ACFR/mangoes/images'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mFileNotFoundError\u001b[0m                         Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-20-36cfb046b863>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;31m#split images into trainset and test set\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mall_images\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mos\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlistdir\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mos\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpath\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mjoin\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mos\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgetcwd\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\"images\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: '/home/kiprono/Documents/STELLENBOSCH UNIVERISTY/Masters by Research/Mask RCNN/Annotation projects/ACFR/mangoes/images'"
     ]
    }
   ],
   "source": [
    "#split images into trainset and test set\n",
    "all_images = os.listdir(os.path.join(os.getcwd(),\"images\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "train = random.sample(all_images,int(0.75*len(all_images)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "len(train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "for image in train:\n",
    "    source_image = os.path.join(os.getcwd(),\"images\",image)\n",
    "    print(source)\n",
    "    dest_image = os.path.join(os.getcwd(),\"train_images\",image)\n",
    "    shutil.move(source_image,dest_image)\n",
    "    csv =  image.replace(\".png\",\".csv\")\n",
    "    source_csv = os.path.join(os.getcwd(),\"annotations\",csv)\n",
    "    dest_csv = os.path.join(os.getcwd(),\"train_csv\",csv)\n",
    "    shutil.move(source_csv,dest_csv)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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